Sports Quantitative Analyst/Data Scientist

EveryMatrix was founded in 2008 by a team of innovative and visionary people with the aim to create a fully flexible and tailored software solution for operators whilst working with high-profile iGaming partners.

We are looking for a bright individual, with interest in building data-driven decision systems in the context of customer behavior analytics and sports betting. Good understanding of statistics and probability theory, along with attention to detail and a hands-on attitude are key in this role.

Your first tasks would include:

  • Building an automated customer risk assessment system to help reduce manual effort and control overall risk
  • Building bet recommendation system to increase customer engagement

Main responsibilities:

  • Identification and analysis of customer behavioral patterns in the context of sports betting.
  • Design and creation of automated customer risk assessment systems.
  • Creation of recommendation systems based on customer performance.
  • Support product development in mathematical aspects (for instance by creating a formula for a new betting feature).
  • Analysis of selected sports model and pricing performance, aiming to identify areas for improvement.
  • Play a challenging partner role within the team.

What will make you successful in the role:

  • A solid understanding of the fundamentals of statistical prediction and probability theory including (but not limited to) an in-depth knowledge of regression and model fitting
  • Intellectual curiosity, creativity and confidence to try new approaches
  • Excellent problem solving and communication skills, including communication with non-technical partners
  • Programming experience, ideally in Python or R
  • Master’s qualifications in a quantitative field (mathematics/statistics/physics/etc), postgraduate/research experience (PhD/postdoc) are preferred
  • Confidence to work with significant autonomy
  • Fluent English

Skills that will help you stand out:

  • Familiarity with Bayesian statistics, or an in-depth knowledge of generalized linear models (GLMs) would be a strong plus
  • Experience in a similar role
  • An interest in sports or competitive games
  • Quantitative research experience, possibly as part of a PhD or postdoc role
  • Strong Python and/or Java programming skills with exposure to data science
  • SQL skills
  • Prototyping experience
  • Kaggle profile
  • Familiarity to sports betting concepts
  • Experience with customer risk management

We offer:

  • 21 days of paid vacation plus 1 day per every year you work with us
  • 40 paid sick leaves
  • Medical insurance with a pretty much good coverage for you to feel safe
  • GYM (Sportlife at any location including the swimming pool or Eurosport)
  • We have lunches which are company paid and delivered straight to the office
  • Interesting and challenging tasks, opportunities for self-realization and career growth
  • English language courses
  • Education budget
Apply for this job now! HR team will never use any personal information it receives from you for any purpose beyond recruitment, employment or reference checks, and strongly believes in the importance of keeping the personal information private.

Benefits

  • Shiny new and modern office.

  • Health insurance or gym membership, or a mix of both.

  • Dental Services.

  • Daily catered lunch.

  • Fruit day.

  • Massage at work.

  • Private healthcare and dental care discounts.

  • We hold team-building activities and office parties throughout the year.

  • We have an ever-growing library (online & offline).

  • Flexible schedule.

  • A fun entertainment corner.

  • Internal & external training.

  • Health and well-being in house programs.